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eachlabs-image-edit

Edit, transform, upscale, and enhance images using EachLabs AI models. Supports image editing, style transfer, background removal, upscaling, inpainting, face swap, virtual try-on, 3D generation, and image analysis. Use when the user wants to edit or transform existing images.

Why use this skill?

Enhance, transform, and edit images using 130+ AI models. Install the EachLabs Image Edit skill for OpenClaw to handle upscale, inpainting, and style transfer tasks.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/eftalyurtseven/eachlabs-image-edit
Or

What This Skill Does

The eachlabs-image-edit skill provides a powerful interface to over 130 advanced AI models hosted on the EachLabs Predictions API. It enables users to manipulate, transform, and enhance images directly through natural language commands within the OpenClaw environment. Whether you need to perform routine edits like background removal and upscaling, or complex tasks such as style transfer, 3D generation, virtual try-on, and face swapping, this skill acts as a comprehensive creative suite. It bridges the gap between raw AI model power and simplified agent-based workflows, allowing for high-fidelity image editing with minimal technical configuration.

Installation

To integrate this skill into your OpenClaw agent, use the following command in your terminal:

clawhub install openclaw/skills/skills/eftalyurtseven/eachlabs-image-edit

After installation, ensure you have an active account at eachlabs.ai. Obtain your API key and set it as an environment variable in your system: EACHLABS_API_KEY=<your-api-key>. This key is required for the header authentication when the agent makes calls to the EachLabs API.

Use Cases

  • Professional Content Creation: Quickly swap backgrounds for product photography or apply consistent styles across a series of marketing images.
  • Image Enhancement: Use upscaling models to breathe new life into low-resolution assets or restore clarity to old photos.
  • Creative Design: Experiment with 3D generation and artistic style transfer for concept art and mood boards.
  • E-Commerce: Implement virtual try-on features or multi-angle image views for product catalogs.
  • Data Augmentation: Use advanced models for synthetic image generation and manipulation to support machine learning datasets.

Example Prompts

  1. "Hey OpenClaw, take this product photo and remove the background, then upscale it to 4K using the Flux 2 Max Edit model."
  2. "I need to see how this jacket looks on a model; can you use the virtual try-on feature on this uploaded image?"
  3. "Apply a cyberpunk artistic style to the image I just uploaded using the Reve Edit model."

Tips & Limitations

  • Model Selection: Use the 'Model Selection Guide' table to choose the right balance between speed and quality. For quick iterations, prioritize 'Turbo' or 'Flash' models. For professional, high-resolution output, use 'Max' or 'Pro' variations.
  • Context Handling: If you are editing multiple images that relate to each other (e.g., a storyboard), use the models listed under the 'Multi-Image Context Editing' category for better coherence.
  • API Costs: Be aware that high-end models consume more resources. Check your EachLabs dashboard for usage tracking.
  • Input Requirements: Ensure your source images are clear and well-lit to achieve the best results from the underlying generative models.

Metadata

Stars2387
Views1
Updated2026-03-09
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-eftalyurtseven-eachlabs-image-edit": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#image-editing#generative-ai#creative-tools#ai-art#upscaling
Safety Score: 4/5

Flags: external-api